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Dr. Mahima Shanker Pandey

Dr. Mahima Shanker Pandey

Assistant Professor, Computer Science & Applications (CSA)


Dr Mahima Shanker Pandey received his B.Tech in Information Technology in 2008 from Uttar Prdesh Technical University, Lucknow-India, M.Tech in Computer Science and Engineering in 2013 from Motilal Nehru National Institute of Technology, Allahabad (India), and Ph.D. in Computer Science and Engineering in 2022 from Dr. A.P.J. Abdul Kalam Technical University (APJAKTU) Lucknow India. He has more than 11 years of Teaching/Research experience and published more than 12 research papers in various National/International Conferences/Journals of repute. My research interests include, Fuzzy Logic, Machine learning, and Medical Imaging.

  • 12 Years
  • Ph.D

  •  1 SCI, 4 Journal paper index in Scopus and 4 Conference Papers Index in Scopus and 1 Book Chapter index in Scopus and 1 Indian Patents Granted

List of Publications:

  • Pandey, Brijesh, Ashish K. Mishra, Arun Yadav, Durgesh Tiwari, and Mahima S. Pandey. "Virtualization using Docker container." Emerging Real-World Applications of Internet of Things, 2022, 157-181. doi:10.1201/9781003304203-8.
  • Usman, Mohd, Rahul Shukla, Nayab Zya, Mahima S. Pandey, and Abhishek Singh. "Graph convolutional neural networks for distributed recommender and prediction systems." Emerging Trends in IoT and Computing Technologies, 2023, 462-467. doi:10.1201/9781003350057-68.
  • Verma, Deepa, and Mahima S. Pandey. "Computerized Assisted Segmentation of Brain Tumor Using Deep Convolutional Network." Proceedings of Second Doctoral Symposium on Computational Intelligence, 2021, 461-470. doi:10.1007/978-981-16-3346-1_37.
  • Pandey, Mahima S. "Computerized gender determination from human sternum& manubrium X-Ray Measurements." International Journal of Advanced Trends in Computer Science and Engineering 8, no. 6 (2019), 2686-2692. doi:10.30534/ijatcse/2019/01862019.
  • Singh, Abhishek, Vineet Kansal, Manish Gaur, and Mahima S. Pandey. "Predicting Smart Building Occupancy Using Machine Learning." Proceedings of Third Doctoral Symposium on Computational Intelligence, 2022, 145-151. doi:10.1007/978-981-19-3148-2_12.

Area of Interest

  • Machine Learning, Deep Learning, Fuzzy Logic, Medical Imaging